Modify ultralytics_yolov5.md : translate english to korean#13
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Jul 29, 2022
| [YOLOv5](https://ultralytics.com/yolov5) 🚀 is a family of compound-scaled object detection models trained on the COCO dataset, and includes simple functionality for Test Time Augmentation (TTA), model ensembling, hyperparameter evolution, and export to ONNX, CoreML and TFLite. | ||
| [YOLOv5](https://ultralytics.com/yolov5) 🚀는 compound-scaling을 사용하고 COCO dataset으로 학습한 모델들 중 하나이고, Test Time Augmentation (TTA), 모델 앙상블(model ensembling), 하이퍼파라미터 평가(hyperparameter evolution), 그리고 ONNX, CoreML과 TFLite로 변환(export)을 간단하게 해주는 기능이 포함되어 있습니다. | ||
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| |Model |size<br><sup>(pixels) |mAP<sup>val<br>0.5:0.95 |mAP<sup>test<br>0.5:0.95 |mAP<sup>val<br>0.5 |Speed<br><sup>V100 (ms) | |params<br><sup>(M) |FLOPS<br><sup>640 (B) |
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번역할 수 있는 표의 제목들은 번역이 되면 좋을 것 같습니다. :)
Model, Speed, params 등
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파이토치 허브의 YOLOv5 모델 소개 페이지가 한국어로 번역됩니다.